Human-Computer Interaction, Artificial Intelligence, Computer Engineering, Social Psychology
46
Scopus Publications
1331
Scholar Citations
22
Scholar h-index
30
Scholar i10-index
Scopus Publications
Synchronous motion predicts enhanced perceived human–robot teamwork Filipa Correia, Pedro Marques-Quinteiro Scientific Reports, 2026 In social robotics, interaction synchrony plays a central role in creating intentional and lifelike robotic agents. However, is yet to be studied the extent to which interaction synchrony is a relevant social aspect used by external observers to make inferences about human–robot dyads. For instance, whether external observers evaluate the human–robot ability to work as a team. In one mixed-design experimental study, 34 participants were presented with two videos showing a human–robot dyad engaging in a synchronous vs. asynchronous interaction. We found evidence that the mere perception of synchronous interactions predicts external observers’ estimations of the dyad’s collective efficacy, fluency, and cohesion. Our findings also suggest that seeing asynchronous interactions after synchronous ones elicits greater differences in participants’ estimations, compared to when participants see asynchrony first. Unexpectedly, synchrony did not play a significant role in shaping participants’ affiliation intention towards the dyad. Overall, our findings speak to the importance of synchrony in shaping the way humans observe a human-robot dyad and think about their collaborative capabilities. Not only do we provide new insight into the way humans perceive social groups that include at least one robotic agent, but we also draw broader implications to the human–robot interaction field.
Exploring a biocentric LLM-based assistant in environmental decision-making with more-than-human representation of the Tagus Estuary Rudolfo Félix, Filipa Correia, Cristiano Pedroso-Roussado, Nuno J. Nunes Discover Sustainability, 2026 Integrating nonhuman perspectives into human decision-making is crucial for addressing environmental challenges, yet practical methods are scarce. This paper explores using Large Language Models (LLMs) to represent nonhuman entities and influence human decisions toward ecological sustainability. We address two research questions: (1) How can LLMs be instructed to represent nonhuman entities? (2) How does a biocentric AI assistant affect people’s decision-making? We developed a biocentric AI assistant by training an LLM on ecological data about a specific estuary. In an experimental study, we compared this biocentric assistant with an anthropocentric counterpart in a speculative decision-making task involving the location of a new university campus. Results show that while the biocentric assistant did not significantly change participants’ final decisions, it prompted increased reflection on environmental considerations in their justifications. Our findings demonstrate AI’s potential and challenges in incorporating nonhuman perspectives into decision-making, contributing to more-than-human HCI, and promoting sustainable outcomes.
Of Dogs and Robots: More Than Human Interactions at Play? Filipa Correia, Cristina Gena, Alberto Lillo, Laura Lossi, Claudio Mattutino, et al. Companion Proceedings of the 21st ACM IEEE International Conference on Human Robot Interaction Hri Companion 2026, 2026
Ingroup Categorization of Robots Is Affected by Self-Cognitions and Level of Anthropomorphism Cobe Wilson, Marlena Fraune, Ricarda Wullenkord, Filipa Correia ACM Transactions on Human Robot Interaction, 2026 Objective: The purpose of this work was to examine the relationship between self-concept and ingroup/outgroup categorization of robots. Background: Social psychological literature can improve Human–Robot Interaction (HRI) through investigations about cultural differences, intergroup dynamics, and more. Parallel to human–human interaction, people categorize robots as ingroup (“my group”) or outgroup (“not my group”) based on a myriad of variables. They favor ingroup robots by viewing them as more positive and human-like versus outgroup robots or humans. Previous work has examined the effect of robot anthropomorphism (i.e., human-likeness) on this categorization process with diverse findings. Method: Examining the self-concept via the two-baskets theory of self-cognitions, we compared the ingroup categorization of Humans, Machine-like robots, Medium Human-like robots, and High Human-like robots using a simple categorization task. Results: Results indicate that robots and human are categorized to the ingroup correlating with the uncanny valley effect, with humans being most likely to the ingroup followed by Medium Human-like, Machine-like, and High Human-like. Conclusions: Self-concept may not be as important for categorization as other factors; however, important categorization differences exist following the trend of the uncanny valley. Application: Those who design and utilize robots should take categorization differences into consideration when designing robots for public interactions. Further, those who purchase robots for use should be careful to consider the implications of visual similarities to human beings to ensure optimal acceptance OSF: ( https://osf.io/x9rqn/?view_only=fd0894404e304422a6c77ccffa013bcd ). Precis: Considering the uncanny valley, we examine the social categorization of humans and robots and the relation of this categorization to the self-concept in the form of self-cognitions. Results demonstrate important differences in the categorization of various types of human and robot images based strongly on the uncanny valley effect.
Robots adapting to dogs: A new frontier? Angelo Paloka, Alberto Lillo, Fabiana Vernero, Filipa Correia, Valentina Nisi, et al. Umap 2025 Adjunct Proceedings of the 33rd ACM Conference on User Modeling Adaptation and Personalization, 2025 While Human-Robot Interaction (HRI) has seen extensive exploration, Animal-Robot Interaction (ARI) remains a less mature field. This paper presents a first AI-based prototype designed to enable a humanoid robot to recognize emotional and postural states in dogs and adapt its behavior accordingly. Using a deep learning-based pipeline for real-time detection and classification, the robot could adapt its movements to better accommodate canine responses. We propose that such an adaptive approach paves the way for more natural coexistence between robots and animals in domestic settings, raising new challenges in perception, behavior design, and ethics within ARI.
Evaluating Greeting Models for Human-Robot Engagement During First Encounters João Avelino, Plinio Moreno, Filipa Correia, Leonel Garcia-Marques, Rodrigo Ventura, et al. International Journal of Social Robotics, 2025 Engagement during first encounters needs both parties to comprehend each other’s intent without mutual information. A robot may fail to engage someone because people are unaware of the robot’s presence or intent to interact, or because they are uninterested in interacting with robots. In this paper, we compared three different greeting strategies for mobile social robots in first encounters with humans using the Kendon’s greeting protocol, which was derived from observations of human greeting behaviors. The theoretical protocol defines a sequence of six phases during greetings: initiation of the approach, distance salutation, head dip, approach, final approach, and close salutation. The three greeting strategies we compare in our empirical studies specifically implement the first three phases of the Kendon’s model (M1), the six phases (M2), or the six phases as a response of the human greeting phase (M3). We performed a user study during a public art exhibition in two different situations: in-the-wild and with invited participants. The results of these two experiments combined both quantitative and qualitative measures and support that people’s engagement and impressions of the robot can be enhanced when the robot employs M2 and M3, compared to M1. Our results generally support that Kendon’s greeting model is effective in human-robot first encounters for mobile social robots. We also discuss important considerations for running in-the-wild robotic experiments.
The Effect of Agent-Based Feedback on Prosociality in Social Dilemmas Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas, 2025
Exploring Prosociality in Human-Robot Teams Filipa Correia, Samuel F. Mascarenhas, Samuel Gomes, Patricia Arriaga, Iolanda Leite, et al. ACM IEEE International Conference on Human Robot Interaction, 2019
Outcome-based partner selection in collective risk dilemmas Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas, 2019
Effects of agents’ transparency on teamwork Silvia Tulli, Filipa Correia, Samuel Mascarenhas, Samuel Gomes, Francisco S. Melo, et al. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
For the record - A public goods game for exploring human-robot collaboration Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas, 2019
Exploring the impact of fault justification in human-robot trust: Socially Interactive Agents Track Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems Aamas, 2018
A social robot as a card game player Proceedings of the 13th Aaai Conference on Artificial Intelligence and Interactive Digital Entertainment Aiide 2017, 2017
Untangling robomorphic things: A design space to describe robotlike traits F Correia, I Neto, M Fortes-Ferreira Computers in Human Behavior: Artificial Humans, 100315 , 2026 2026
Effectiveness of a Humorous Robot in Reducing Anxiety in Clinical Procedures R Rodrigues, P Moreno, F Correia, A Bernardino Companion Proceedings of the 21st ACM/IEEE International Conference on Human … , 2026 2026
Of Dogs and Robots: More Than Human Interactions at Play? F Correia, C Gena, A Lillo, L Lossi, C Mattutino, V Nisi, L Pigureddu, ... Companion Proceedings of the 21st ACM/IEEE International Conference on Human … , 2026 2026
Ingroup categorization of robots is affected by self-cognitions and level of anthropomorphism C Wilson, M Fraune, R Wullenkord, F Correia ACM Transactions on Human-Robot Interaction 15 (3), 1-16 , 2026 2026
Exploring a biocentric LLM-based assistant in environmental decision-making with more-than-human representation of the Tagus Estuary R Félix, F Correia, C Pedroso-Roussado, NJ Nunes Discover Sustainability , 2026 2026
Synchronous motion predicts enhanced perceived human–robot teamwork F Correia, P Marques-Quinteiro Scientific Reports , 2025 2025
Cooperation Through Indirect Reciprocity in Child-Robot Interactions I Neto, AS Pires, F Correia, FP Santos arXiv preprint arXiv:2512.20621 , 2025 2025 Citations: 2
Assistant Robots with an Agenda foster Uncooperative Behaviors * J Brito, R de Brito Duarte, HC Fonseca, J Campos, F Correia, A Paiva 2025 34th IEEE International Conference on Robot and Human Interactive … , 2025 2025
Robots adapting to dogs: a new frontier? A Paloka, A Lillo, F Vernero, F Correia, V Nisi, L Lossi, C Gena Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation … , 2025 2025 Citations: 1
The Effect of Agent-based Feedback on Prosociality in Social Dilemmas J Renoux, F Correia, J Campos, L Morillo-Mendez, N Akalin, FP Santos, ... Proceedings of the 24th International Conference on Autonomous Agents and … , 2025 2025
Ethical Considerations in Designing and Testing Robots for Children in Educational Settings P Arriaga, I Neto, F Correia, A Soares Social Robots in Education: How to Effectively Introduce Social Robots into … , 2025 2025 Citations: 4
Evaluating Greeting Models for Human-Robot Engagement During First Encounters J Avelino, P Moreno, F Correia, L Garcia-Marques, R Ventura, ... International Journal of Social Robotics 17 (2), 297-314 , 2025 2025 Citations: 3
When a robot is your teammate F Correia, FS Melo, A Paiva Topics in Cognitive Science 16 (3), 527-553 , 2024 2024 Citations: 18
Conveying Emotions through Shape-changing to Children with and without Visual Impairment I Neto, Y Hu, F Correia, F Rocha, G Hoffman, H Nicolau, A Paiva Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems … , 2024 2024 Citations: 12
" I'm Not Touching You. It's The Robot!": Inclusion Through A Touch-Based Robot Among Mixed-Visual Ability Children I Neto, Y Hu, F Correia, F Rocha, J Nogueira, K Buckmayer, G Hoffman, ... Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot … , 2024 2024 Citations: 15
More-than-human Perspective on the Robomorphism Paradigm F Correia, I Neto, M Fortes-Ferreira, D Oogjes, T Almeida Companion of the 2024 ACM/IEEE International Conference on Human-Robot … , 2024 2024 Citations: 12
The Effects of Observing Robotic Ostracism on Children's Prosociality and Basic Needs F Correia, I Neto, S Paulo, P Piedade, H Erel, A Paiva, H Nicolau Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot … , 2024 2024 Citations: 8
Coding Together: On Co-located and Remote Collaboration between Children with Mixed-Visual Abilities F Rocha, F Correia, I Neto, AC Pires, J Guerreiro, T Guerreiro, H Nicolau Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems … , 2023 2023 Citations: 24
The Imperfectly Relatable Robot: An Interdisciplinary Workshop on the Role of Failure in HRI K Harrison, G Perugia, F Correia, K Somasundaram, S van Waveren, ... Companion of the 2023 ACM/IEEE International Conference on Human-Robot … , 2023 2023 Citations: 11
The Robot Made Us Hear Each Other: Fostering Inclusive Conversations among Mixed-Visual Ability Children I Neto, F Correia, F Rocha, P Piedade, A Paiva, H Nicolau Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot … , 2023 2023 Citations: 42
MOST CITED SCHOLAR PUBLICATIONS
Exploring the Impact of Fault Justification in Human-Robot Trust F Correia, C Guerra, S Mascarenhas, FS Melo, A Paiva Proceedings of the 17th International Conference on Autonomous Agents and … , 2018 2018 Citations: 140
Group-based emotions in teams of humans and robots F Correia, S Mascarenhas, R Prada, FS Melo, A Paiva Proceedings of the 2018 ACM/IEEE international conference on human-robot … , 2018 2018 Citations: 109
Just follow the suit! trust in human-robot interactions during card game playing F Correia, P Alves-Oliveira, N Maia, T Ribeiro, S Petisca, FS Melo, ... 2016 25th IEEE international symposium on robot and human interactive … , 2016 2016 Citations: 76
AI Trust: Can Explainable AI Enhance Warranted Trust? R de Brito Duarte, F Correia, P Arriaga, A Paiva Human Behavior and Emerging Technologies 2023 (1), 4637678 , 2023 2023 Citations: 72
What My Eyes Can't See, A Robot Can Show Me: Exploring the Collaboration Between Blind People and Robots M Bonani, R Oliveira, F Correia, A Rodrigues, T Guerreiro, A Paiva Proceedings of the 20th International ACM SIGACCESS Conference on Computers … , 2018 2018 Citations: 70
Friends or foes? Socioemotional support and gaze behaviors in mixed groups of humans and robots R Oliveira, P Arriaga, P Alves-Oliveira, F Correia, S Petisca, A Paiva Proceedings of the 2018 ACM/IEEE international conference on human-robot … , 2018 2018 Citations: 70
The Stereotype Content Model Applied to Human-Robot Interactions in Groups R Oliveira, P Arriaga, F Correia, A Paiva 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI … , 2019 2019 Citations: 69
Social robots for older adults: Framework of activities for aging in place with robots P Alves-Oliveira, S Petisca, F Correia, N Maia, A Paiva International Conference on Social Robotics, 11-20 , 2015 2015 Citations: 63
Exploring prosociality in human-robot teams F Correia, SF Mascarenhas, S Gomes, P Arriaga, I Leite, R Prada, ... 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI … , 2019 2019 Citations: 62
Empathy and Prosociality in Social Agents A Paiva, F Correia, R Oliveira, F Santos, P Arriaga The Handbook on Socially Interactive Agents: 20 years of Research on … , 2021 2021 Citations: 44
The Robot Made Us Hear Each Other: Fostering Inclusive Conversations among Mixed-Visual Ability Children I Neto, F Correia, F Rocha, P Piedade, A Paiva, H Nicolau Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot … , 2023 2023 Citations: 42
A social robot as a card game player F Correia, P Alves-Oliveira, T Ribeiro, F Melo, A Paiva Proceedings of the AAAI conference on artificial intelligence and … , 2017 2017 Citations: 41
The Power of a Hand-shake in Human-Robot Interactions J Avelino, F Correia, J Catarino, P Ribeiro, P Moreno, A Bernardino, ... 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems … , 2018 2018 Citations: 40
“I Choose... YOU!” Membership preferences in human–robot teams F Correia, S Petisca, P Alves-Oliveira, T Ribeiro, FS Melo, A Paiva Autonomous Robots 43 (2), 359-373 , 2019 2019 Citations: 39
Inclusive'R'Stories: An Inclusive Storytelling Activity with an Emotional Robot C Antunes, I Neto, F Correia, A Paiva, H Nicolau 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI … , 2022 2022 Citations: 36
Picky losers and carefree winners prevail in collective risk dilemmas with partner selection FP Santos, S Mascarenhas, FC Santos, F Correia, S Gomes, A Paiva Autonomous Agents and Multi-Agent Systems 34 (2), 1-29 , 2020 2020 Citations: 34
Effects of agents’ transparency on teamwork S Tulli, F Correia, S Mascarenhas, S Gomes, FS Melo, A Paiva International workshop on explainable, transparent autonomous agents and … , 2019 2019 Citations: 27
Robots in Games D Rato, F Correia, A Pereira, R Prada International Journal of Social Robotics 15 (1), 37-57 , 2023 2023 Citations: 26
Coding Together: On Co-located and Remote Collaboration between Children with Mixed-Visual Abilities F Rocha, F Correia, I Neto, AC Pires, J Guerreiro, T Guerreiro, H Nicolau Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems … , 2023 2023 Citations: 24
The Dark Side of Embodiment Teaming Up With Robots VS Disembodied Agents F Correia, S Gomes, S Mascarenhas, FS Melo, A Paiva Proceedings of Robotics: Science and Systems. Corvalis, Oregon, USA , 2020 2020 Citations: 24
